Triple
T13993666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sex and Love |
E336640
|
entity |
| Predicate | containsHitSingle |
P15293
|
FINISHED |
| Object | El Perdedor |
E881130
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: El Perdedor | Statement: [Sex and Love, containsHitSingle, El Perdedor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Perdedor Context triple: [Sex and Love, containsHitSingle, El Perdedor]
-
A.
El Perdedor
chosen
"El Perdedor" is a popular Latin pop/reggaeton song by Colombian singer Maluma that significantly boosted his international recognition.
-
B.
Gone
"Gone" is a reflective hip-hop track by Kanye West featuring Consequence and Cam'ron, known for its soulful Otis Redding sample and intricate storytelling.
-
C.
Gone
"Gone" is a suspense thriller novel by bestselling American crime writer Lisa Gardner, featuring a high-stakes kidnapping investigation and psychological tension.
-
D.
Gone
"Gone" is a song featured on the album "Music" by American singer Madonna.
-
E.
Gone
"Gone" is a punk rock song by The Bouncing Souls, known for its melodic hooks and emotionally charged lyrics about loss and moving on.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb3b5d881909f15a1e08bb202f3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32789e08190be0f1d1685dcc90e |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.